Evidence map›Paper›PMID 42245347›Full record

Observational studyFrontiers in public health2026

Detection of microplastics in bladder wash fluid obtained after cystoscopy in patients diagnosed with bladder cancer.

Burak Yılmaz, Miraç Ataman, Ayşegül Tuna

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Burak YılmazDepartment of Urology, Osmaniye Research and Training Hospital, Osmaniye, Türkiye.
Miraç AtamanDepartment of Urology, Siirt Research and Training Hospital, Siirt, Türkiye.
Ayşegül TunaDepartment of Infectious Diseases, Kırıkkale University, Kırıkkale, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the possible association between bladder cancer and the concentration of microplastics detected in urine. Methods: This retrospective observational study examined 76 patients presenting to the Urology Outpatient Clinic between December 2024 and May 2025. The patient group consisted of 40 individuals diagnosed with bladder cancer based on pathological results, while the control group comprised 36 volunteers who underwent cystoscopy but had no pathological lesions. During cystoscopy, 5 mL of urine was collected from each participant in sterile glass tubes for microplastic analysis. Microplastic particles were identified and quantified in urine samples using stereomicroscopy. The demographic characteristics, microplastic concentrations and clinical data of patients diagnosed with bladder cancer were recorded. Results: Participants were aged between 41 and 82 years, with an average age of 63.04 ± 10.15 years. No significant difference in age distribution was observed between the groups. The mean body mass index was 28.31 ± 4.79 kg/m Conclusion: The findings of this study suggest that, under the conditions and analytical limitations of the present study, no significant association was observed between urinary microplastic concentration and urothelial carcinoma of the bladder. Further clarification of the potential relationship between bladder cancer and urinary microplastic levels requires larger-scale studies.

Indexed as

CystoscopyMicroplasticsNon-Muscle Invasive Bladder NeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesUrinary BladderMicroplasticsbladder cancerbladder wash fluidenvironmental wastemicroplasticsurine

Identifiers

PMID42245347
PMCPMC13229879

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.